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Implementing Splunk 7, Third Edition

You're reading from   Implementing Splunk 7, Third Edition Effective operational intelligence to transform machine-generated data into valuable business insight

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788836289
Length 576 pages
Edition 3rd Edition
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Table of Contents (15) Chapters Close

Preface 1. The Splunk Interface FREE CHAPTER 2. Understanding Search 3. Tables, Charts, and Fields 4. Data Models and Pivots 5. Simple XML Dashboards 6. Advanced Search Examples 7. Extending Search 8. Working with Apps 9. Building Advanced Dashboards 10. Summary Indexes and CSV Files 11. Configuring Splunk 12. Advanced Deployments 13. Extending Splunk 14. Machine Learning Toolkit

Using chart to turn data

The chart command is useful for turning data across two dimensions. It is useful for both tables and charts. Let's start with one of our examples from stats:

sourcetype="tm1*" error | chart count over date_month by date_wday

The resultant table looks like this:

If you look back at the results from stats, the data is presented as one row per combination. Instead of a row per combination, chart generates the intersection of the two fields. You can specify multiple functions, but you may only specify one field each for over and by.

Switching the fields (by rearranging our search statement a bit) turns the data the other way:

By simply clicking on the Visualization tab (to the right of the Statistics tab), we can see these results in a chart:

This is an Area chart, with particular format options set. Within the chart area, you can click on...

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